18 Jobs für Data Engineer in Schweiz
Biomedical Data Integration Specialist
Job angesehen
Arbeitsbeschreibung
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institution: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 17,000 people, including over 12,500 students and 4,000 researchers from more than 120 different countries.
Biomedical Data Integration Specialist About the Swiss Data Science Center (SDSC)The Swiss Data Science Center (SDSC) is a national research infrastructure in data science and artificial intelligence (AI). Its mission""to enable data-driven science and innovation for societal impact""drives its initiatives in research projects, knowledge and technology transfer, and education. With a large multidisciplinary team of professionals in Lausanne, Zurich and Villigen, the SDSC provides expertise and services to various domains, such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructures. The SDSC also offers initial and executive education programs through EPFL and ETH Zurich.
Your missionYou will play a critical role in bridging the gap between our engineering teams and biomedical researchers. In this interdisciplinary position, you will develop data pipelines, curate and prepare biomedical datasets for analysis and long-term storage, and serve as the primary point of contact for data onboarding and support. You will contribute to high-impact research infrastructure and projects by ensuring that high-quality, well-structured, and standards-compliant data is readily available to drive discovery and innovation.
Main duties and responsibilities include Data Pipeline Development & Automation
• Design, develop, and maintain workflows and scripts to ingest, transform, validate, and harmonize biomedical data.
• Build tools to support data curation, annotation, and traceability.
• Integrate diverse data types (, clinical records, omics, imaging) into internal or external repositories.
• Ensure data consistency, completeness, and adherence to biomedical data standards (, HL7/FHIR, CDISC, OMOP, DICOM).
• Develop and maintain metadata schemas and documentation to facilitate data reuse.
• Perform quality control and validation checks before data publication or analysis.
• Onboard new research teams and users into data management workflows.
• Provide training, documentation, and ongoing support for data submission and retrieval processes.
• Act as the liaison between researchers, engineers, and IT teams to define and refine data requirements.
• Participate in project planning meetings to represent data integration perspectives.
• Work closely with internal engineering teams responsible for system architecture and platform development.
• Contribute to continuous improvement of data management practices and infrastructure.
• Degree in Biomedical Informatics, Bioinformatics, Computational Biology, Data Science, or a related field.
• Experience in biomedical data science including data analysis, management, curation, and integration.
• Prior work in research or clinical data environments is a strong plus.
• Proficiency in scripting languages such as Python, R, or similar.
• Familiarity with workflow management tools (, Airflow, Nextflow, Snakemake) is advantageous.
• Understanding of relational databases and query languages (, SQL).
• Knowledge of biomedical data formats, ontologies, and standards.
• Strong communication skills to translate technical concepts to diverse stakeholders.
• Detail-oriented with a commitment to data quality and reproducibility.
• Collaborative mindset and willingness to support researchers and team members.
• A dynamic, interdisciplinary environment at the forefront of data-driven innovation in health and biomedical research.
• Opportunities to engage with leading academic, clinical, and industry stakeholders across Switzerland and beyond.
• A collaborative team culture within SDSC, an institute jointly hosted by EPFL and ETH Zurich.
• Attractive employment conditions in line with EPFL/ETH domain policies.
Contract Start Date : to be agreed
Activity Rate Min : 80,00
Activity Rate Max : 100,00
Contract Type: CDD
Duration: 1 year renewable
Reference: 1690
For further information, please contact:
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Data Engineer
Vor 4 Tagen gepostet
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Arbeitsbeschreibung
Location: Konolfingen, Switzerland
Company: Nestlé Product & Technology Center (NPTC) Nutrition
Act. Rate: Full-Time
Type of contract: Permanent contract
**What we offer at Nestlé**
Exciting opportunities to develop your career your way; across different brands, businesses, functions, and regions.
Flexible working arrangements - facilitating creativity and collaboration
A culture of respect, with diversity, equity and inclusion at its core. Learn more here .
A dynamic international environment empowering you to learn, develop and grow.
Don't hesitate to connect with us during the recruitment process to learn more.
**Position Summary**
We are looking for a **Data Engineer** to be responsible for supporting the digital transformation program within the R&D function. You will design, build, and maintain data pipelines and architectures that ensure data quality and accessibility for data scientists and researchers. Additionally, you will lead the application of digital tools, such as Power BI and PowerApps, to enhance efficiency and quality within NPTC Nutrition. Your collaboration with cross-functional teams will be crucial in ensuring compliance, security, and effective data management. As a Data Engineer, you will apply your information modeling and programming skills to optimize data for insightful analysis.
**A Day in the Life of a Data Engineer**
+ Contribute to the design and maintenance of data pipelines with local and functional data owners
+ Implement and monitor data quality checks to ensure accuracy and reliability
+ Design data pipelines to collect, process, and store data from various sources
+ Collaborate with data scientists to understand data requirements and design models
+ Manage the data lifecycle and assist in variable creation and staging strategies
+ Develop and apply digital tools to enhance efficiency and metric accuracy
+ Work with R&D stakeholders to leverage data for business solutions
+ Provide technical support and guidance on data-related issues
**What will make you successful**
+ Master's degree in Computer Science, Data Engineering, or a related field
+ Solid experience in data engineering, preferably in an R&D environment
+ Proficiency in programming languages such as Python, Java, or Scala
+ Experience with data warehousing solutions like Snowflake, ETL tools, and SQL
+ Familiarity with big data technologies and cloud platforms (AWS, Azure)
+ Proficiency in Databricks, Unity Catalog, and Purview
+ Strong problem-solving skills and ability to work with minimal supervision
+ Effective communication experience at various organizational levels
Nestlé is committed to the accessibility of its recruitment process. If you require an adaptation during the recruitment process, please do let us know so we can support you effectively. All information will be treated confidentially.
At Nestlé Research and Development in Konolfingen near Bern / Switzerland, we develop for Nestlé worldwide, new products, processes and packaging concepts for a broad range of products of our Nutrition, Dairy, Health Science and Coffee businesses. In addition, we also provide technical assistance to our factories.
Data Engineer
Heute
Job angesehen
Arbeitsbeschreibung
Manpower
Wir von Experis AG suchen eine erfahrene Persönlichkeit für den Bereich Data Engineer. Sie möchten Ihre Expertise in komplexen IT-Systemen einbringen, digitale Transformationsprojekte mitgestalten und Verantwortung für moderne IT-Landschaften übernehmen? Dann erwartet Sie hier eine vielseitige und verantwortungsvolle Aufgabe in einem dynamischen Umfeld.
Über die Rolle
Wir suchen einen Data Engineer mit 2 bis 5 Jahren Berufserfahrung, der unser Team beim Aufbau und der Weiterentwicklung von Datenplattformen unterstützt. In dieser Position arbeiten Sie eng mit Fachbereichen, Entwicklern und IT-Infrastruktur zusammen, um Daten zuverlässig und performant bereitzustellen.
Ihre Aufgaben
- Entwicklung, Pflege und Optimierung von ETL-Prozessen
- Verwaltung und Abfrage von Datenbanken mit SQL
- Unterstützung bei Datenintegrationsprojekten und Schnittstellenentwicklung
- Automatisierung und Skripting von Aufgaben, vorzugsweise mit Python
- Erstellung von Dashboards und Reports mit modernen Visualisierungstools (z. B. Power BI, Tableau)
- Analyse und Optimierung bestehender Datenmodelle und Prozesse
Ihr Profil
- Abgeschlossenes Studium in Informatik, Wirtschaftsinformatik oder vergleichbare Ausbildung
- 2 bis 5 Jahre Erfahrung im Bereich Data Engineering oder Datenmanagement
- Sehr gute SQL-Kenntnisse
- Grundkenntnisse in Python
- Erfahrung mit einem Visualisierungstool wie Power BI oder Tableau
- Optional: Kenntnisse in älteren Datenbanken wie Ingres von Vorteil
- Fliessende Deutschkenntnisse in Wort und Schrift
- Selbständige, strukturierte und lösungsorientierte Arbeitsweise
Bereit, Ihre IT-Kompetenz in einem spannenden und dynamischen Umfeld einzubringen? Wir von Experis AG freuen uns darauf, gemeinsam mit Ihnen den nächsten Karriereschritt zu gehen. Bewerben Sie sich jetzt und gestalten Sie die digitale Zukunft aktiv mit!
Branche: Pharma-Industrie
Funktion: Personalwesen
Data Engineer
Vor 10 Tagen gepostet
Job angesehen
Arbeitsbeschreibung
Manpower
Experis® is a global leader in IT professional resourcing, permanent recruitment, project solutions, and managed services. With over 25 years of experience in Switzerland and offices in Zürich, Basel, and Geneva, we connect top IT talent with leading companies. Our mission is to help professionals unlock their potential and thrive in dynamic, future-ready careers.
Für einen Kunden in Zürich suchen wir einen Data Engineer für eine Festanstellung.
Deine Aufgaben
- Beratung unserer Kunden im Bereich Datenmodellierung und Datenanlyse
- Analyse von Bedürfnisse und Erarbeitung konkreter Lösungen /li>
- Unterstützung des Account Managements bei der Akquisition von Projekten
- li>Du bist ein Teamplayer
- Du schätzt den direkten Kundenkontakt
- Du bist lösungsorientiert, strukturiert und analytisch
- Den Willen Neues zu lernen und dich stetig weiterzubilden
- Du hast Erfahrung in SQL und PL/SQL
- Du hast Erfahrung mit Datenbanken (Oracle, MS-SQL, etc.)
- Du hast eine gute mündliche und schriftliche Ausdrucksweise in Deutsch und Englisch
- Du hast Erfahrung oder die Bereitschaft dir die Programmiersprache Python anzueignen
- Du hast Erfahrung im Bereich der dimensionalen Datenmodellierung oder die Bereitschaft sie dir anzueignen
- Du hast Erfahrung mit den gängigen ETL-Werkzeugen
- Du hast erste Erfahrungen mit DWH und Big-Data (NoSQL, MapReduce, ?)
- Du hast Erfahrung mit Daten(-analyse) in der Cloud (Azure, AWS, Snowflake, ?) oder bist bereit sie dir anzueignen
- Du hast Erfahrung mit Datenanalyse und Reporting (MS Power BI, Tableau, ?
Wenn du an dieser Gelegenheit interessiert bist, freuen wir uns auf deinen CV.
Bei Fragen wende dich bitte an Vladyslav Kadaiev unter .
Branche: EDV
Funktion: Personalwesen
Data Engineer Intern
Vor 4 Tagen gepostet
Job angesehen
Arbeitsbeschreibung
**Eligibility Requirements:**
+ **EU / EEA citizenship**
+ **Must be graduating within or after November 2025**
These requirements are related to local legislation hence there is no flexibility in the application.
**Let's talk about the role!**
As **Data Engineer Intern** you will build and maintain the data pipelines that power analytics and machine learning, ensuring reliable, scalable access to high-quality data in our Global Data Foundation platform.
By transforming raw data into structured insights, they enable smarter business decisions and accelerate innovation.
Below a list focusing on the most impactful responsibilities:
+ Build and maintain scalable data pipelines and integrations to ensure timely and reliable data availability for analytics and reporting.
+ Transform and clean raw data from multiple sources into structured formats to support business intelligence and machine learning use cases.
+ Monitor and optimize data workflows and storage solutions to improve performance, reduce costs, and ensure data quality.
+ Collaborate with cross-functional teams (e.g., Data Scientists, Analysts, Product Owners) to understand data needs and deliver actionable solutions.
+ Document and maintain data architecture, processes, and best practices to support team knowledge sharing and onboarding.
+ Support other initiatives and projects as part of the Global Data Engineering team, contributing to innovation and continuous improvement efforts.
**What you Bring**
What will make a candidate successful?
+ **Demonstrates strong proficiency** in SQL and Python for data manipulation, transformation, and automation.
+ **Understands data architecture principles** and is familiar with cloud platforms (Azure) and data platforms Databricks. With modern data frameworks like Spark, Databricks, dbt.
+ **Communicates effectively** with technical and non-technical stakeholders to align on data requirements and deliverables.
+ **Shows attention to detail** in ensuring data accuracy, consistency, and documentation.
+ **Learns quickly and adapts** to evolving technologies and project priorities in a fast-paced environment.
+ **Collaborates proactively** within cross-functional teams to support data-driven decision-making.
Competences Required:
+ **Data modeling intuition** : understands how to structure data for performance, scalability, and usability, not just storage.
+ **Pipeline reliability mindset** : builds with monitoring, testing, and failure recovery in mind, ensuring robust data flows.
+ **Code quality discipline:** writes clean, modular, and well-documented code that others can easily understand and build upon.
+ **Curiosity-driven problem solving:** proactively explores data issues and business questions, going beyond assigned tasks.
_A master degree in STEM disciplines is required a pre-requisite given the nature of the role._
We are looking for someone who has demonstrated:
+ The ability to understand the data flow in the VF business processes.
+ The capability to troubleshoot complex data issues and propose a feasible solution.
+ An understanding of modern data architecture, cloud computing, traditional AI and GenAI.
+ An expertise in using SQL and Python like a master.
+ A keen interest in exploring new technologies for data management and GenAI.
**What's in it For You**
The VF EMEA Internship Program is a 12-month journey designed to develop and empower emerging talent at the start of their careers. As a company committed to unleashing human potential-fueled by the ideas, energy, and dedication of our people-you can expect a structured learning path and rich hands-on experience, including:
+ _Participate in dedicated skill-building workshops_
+ _Collaborate on an internal consulting group project_
+ _Gain on-the-ground insight about our brands during a store visit day_
+ _Connect through networking opportunities with peers and senior leadership_
In the role of **Data Engineer Intern** you will work with an international team worldwide, discovering all secrets of how manage data in a successful enterprise. We will support you with ad hoc trainings, coaching and networking opportunities across all VF brands and shared functions.
We want you to focus on what matters, that's why we offer comprehensive benefits that encourage mental, physical, and financial well-being. You will enjoy:
+ A supportive feedback-based culture where respect and integrity guide us
+ An inclusive international environment where people of diverse backgrounds, lifestyles and nationalities work together
+ Being part of an iconic lifestyle brand in a multi-brand, multi country organization
+ On-site gym offering health and well-being initiatives, break out areas with complimentary drinks
+ A discount card with 50% on all VF brands
**Free to Be, Inclusion & Diversity**
As an equal opportunity employer, we strive to foster a culture of belonging based on respect, connection, openness and authenticity.We are committed to building and maintaining a workplace that celebrates the diversity of our associates, allowing them to bring their authentic selves to work every day.
If you like what you have read and want to join our team then we would like to hear from you!
**ARE YOU IN? Apply now - early application increases your chances!**
R-
VF Diversity Vision Statement
VF is committed to creating an inclusive environment that welcomes and values the differences among all of our associates, customers, suppliers and the communities in which we live and conduct business. The continued success and growth of VF is enhanced through initiatives that promote diversity throughout VF around the world.VF is an equal employment opportunity/ affirmative action employer of minorities, females, protected veterans and the disabled. VF is committed to providing equal opportunities in employment, and treating our VF associates and VF applicants without discrimination on the basis of their race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, protected veteran status, HIV/AIDS status, or any other legally protected factor.
Data Engineer (w/m/d)
Heute
Job angesehen
Arbeitsbeschreibung
Manpower
Wir von Experis AG suchen eine erfahrene Persönlichkeit für den Bereich Data Engineer. Sie möchten Ihre Expertise in komplexen IT-Systemen einbringen, digitale Transformationsprojekte mitgestalten und Verantwortung für moderne IT-Landschaften übernehmen? Dann erwartet Sie hier eine vielseitige und verantwortungsvolle Aufgabe in einem dynamischen Umfeld.
Über die Rolle
Wir suchen einen Data Engineer mit 2 bis 5 Jahren Berufserfahrung, der unser Team beim Aufbau und der Weiterentwicklung von Datenplattformen unterstützt. In dieser Position arbeiten Sie eng mit Fachbereichen, Entwicklern und IT-Infrastruktur zusammen, um Daten zuverlässig und performant bereitzustellen.
Ihre Aufgaben
- Entwicklung, Pflege und Optimierung von ETL-Prozessen
- Verwaltung und Abfrage von Datenbanken mit SQL
- Unterstützung bei Datenintegrationsprojekten und Schnittstellenentwicklung
- Automatisierung und Skripting von Aufgaben, vorzugsweise mit Python
- Erstellung von Dashboards und Reports mit modernen Visualisierungstools (z. B. Power BI, Tableau)
- Analyse und Optimierung bestehender Datenmodelle und Prozesse
Ihr Profil
- Abgeschlossenes Studium in Informatik, Wirtschaftsinformatik oder vergleichbare Ausbildung
- 2 bis 5 Jahre Erfahrung im Bereich Data Engineering oder Datenmanagement
- Sehr gute SQL-Kenntnisse
- Grundkenntnisse in Python
- Erfahrung mit einem Visualisierungstool wie Power BI oder Tableau
- Optional: Kenntnisse in älteren Datenbanken wie Ingres von Vorteil
- Fliessende Deutschkenntnisse in Wort und Schrift
- Selbständige, strukturierte und lösungsorientierte Arbeitsweise
Bereit, Ihre IT-Kompetenz in einem spannenden und dynamischen Umfeld einzubringen? Wir von Experis AG freuen uns darauf, gemeinsam mit Ihnen den nächsten Karriereschritt zu gehen. Bewerben Sie sich jetzt und gestalten Sie die digitale Zukunft aktiv mit!
Branche: Pharma-Industrie
Funktion: Personalwesen
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